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» Evolutionary Computation for Modeling and Optimization
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ICML
2003
IEEE
16 years 7 months ago
Unsupervised Learning with Permuted Data
We consider the problem of unsupervised learning from a matrix of data vectors where in each row the observed values are randomly permuted in an unknown fashion. Such problems ari...
Sergey Kirshner, Sridevi Parise, Padhraic Smyth
IROS
2009
IEEE
199views Robotics» more  IROS 2009»
16 years 1 months ago
Multiswarm Particle Filter for vision based SLAM
Abstract— Particle Filters have been widely used as a powerful optimization tool for nonlinear, non-Gaussian dynamic models such as Simultaneous Localization and Mapping (SLAM) a...
Hee Seok Lee, Kyoung Mu Lee
CGO
2005
IEEE
16 years 15 days ago
A Progressive Register Allocator for Irregular Architectures
Register allocation is one of the most important optimizations a compiler performs. Conventional graphcoloring based register allocators are fast and do well on regular, RISC-like...
David Koes, Seth Copen Goldstein
CDC
2009
IEEE
132views Control Systems» more  CDC 2009»
15 years 11 months ago
Q-learning and Pontryagin's Minimum Principle
Abstract— Q-learning is a technique used to compute an optimal policy for a controlled Markov chain based on observations of the system controlled using a non-optimal policy. It ...
Prashant G. Mehta, Sean P. Meyn
GECCO
2006
Springer
182views Optimization» more  GECCO 2006»
15 years 10 months ago
Distributed genetic algorithm for energy-efficient resource management in sensor networks
In this work we consider energy-efficient resource management in an environment monitoring and hazard detection sensor network. Our goal is to allocate different detection methods...
Qinru Qiu, Qing Wu, Daniel J. Burns, Douglas Holzh...